Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D6447572E3902438F033CD89F5D2A2AD5015C27ED50B1B18A71BA67AE8CB5F7277168D |
|
CONTENT
ssdeep
|
1536:mla4O1wQLUWkWQrWeWIW4W5JW+W0WEWnWmW0WaWPWXWZWpWARWuWEWo3Wj1mOMC+:mjOSt41mOFzsTNUnrzMB |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d47c87872b978631 |
|
VISUAL
aHash
|
00c6c6c0007e7e7c |
|
VISUAL
dHash
|
f4ac2c04c5e4d0d0 |
|
VISUAL
wHash
|
02c6e7c0407e7e7e |
|
VISUAL
colorHash
|
30000008180 |
|
VISUAL
cropResistant
|
f4ac2c04c5e4d0d0 |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 10 techniques to evade detection by security scanners and make reverse engineering more difficult.